Alarm Management in Critical Care Environments

Summary

Alarm management in critical care environments addresses the challenge posed by the continuous stream of alerts generated by physiologic monitors, infusion pumps and ventilators. While clinical alarms are vital for the early detection of patient deterioration, high rates of false positives and non-actionable alarms can overwhelm staff, leading to alarm fatigue and potentially jeopardising patient safety. A comprehensive approach integrates tailored alarm thresholds, human factors engineering, interoperability standards and robust standard operating procedures. Technological advances—including signal-processing algorithms, alarm customisation software and artificial intelligence—enable real-time filtering of artefact and aggregation of related alerts, reducing nuisance alarms. Equally important are interdisciplinary training, ongoing usability testing and the involvement of frontline clinicians in policy development. Together, these elements support a balance between sensitivity and specificity, ensuring that alarms remain a reliable safeguard in high-acuity settings while minimising disruption to care and cognitive burden on health-care teams.

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Alarm Management in Critical Care Environments publication trend

The graph below shows the total number of articles in alarm management in critical care environments across all publications each year (not limited to Nature Index journals).

Technical terms

Alarm fatigue: A state of desensitisation and reduced responsiveness to clinical alarms due to excessive or non-actionable alerts.

Clinical alarm: An auditory or visual alert generated by a monitoring device to signal a potential patient safety event.

Non-actionable alarm: An alert that does not require clinical intervention or is false in indicating a patient emergency.

Physiologic monitor: A medical device that continuously measures and displays vital signs such as heart rate, blood pressure and oxygen saturation.

Interoperability: The ability of diverse medical devices and health-care information systems to exchange, interpret and use data cohesively.

References

  1. Impact of Alarm Fatigue on the Work of Nurses in an Intensive Care Environment—A Systematic Review. International Journal of Environmental Research and Public Health (2020).
  2. Clinical Requirements of Future Patient Monitoring in the Intensive Care Unit: Qualitative Study. JMIR Medical Informatics (2019).
  3. Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study. Journal of Medical Internet Research (2020).
  4. Testing physiologic monitor alarm customization software to reduce alarm rates and improve nurses’ experience of alarms in a medical intensive care unit. PLOS ONE (2018).
  5. Reducing False Alarms of Intensive Care Online‐Monitoring Systems: An Evaluation of Two Signal Extraction Algorithms. Computational and Mathematical Methods in Medicine (2011).
  6. Artificial Intelligence Technologies for Coping with Alarm Fatigue in Hospital Environments Because of Sensory Overload: Algorithm Development and Validation. Journal of Medical Internet Research (2019).
  7. Alarm fatigue and moral distress in ICU nurses in COVID-19 pandemic. BMC Nursing (2022).

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